Machine Learning Ops Data Engineer
Southlake, TX, United States
USD 183K-267K (estimate) Senior-level Full Time
Tasks
- Build batch and streaming pipelines
- Create model versioning and pipeline monitoring support
- Design AI ML production use cases on GCP
- Develop data quality checks and operational runbooks
- Enforce coding standards and quality gates
- Ensure security governance and least privilege
- Implement CI/CD and automated testing
- Lead end to end deployment from prototype to production
- Mentor engineers and lead design reviews
- Set up monitoring alerting incident response
Perks/Benefits
Skills/Tech-stack
Apache Airflow | Auditability | Automated testing | Batch Processing | BigQuery | CI/CD | Cloud Composer | Cloud Monitoring | Cloud Run | Cloud Storage | Cloud logging | Cloud platform | Data Modeling | Dataflow | Docker | GKE | Git | Google Cloud | Google Cloud Platform | Google Cloud Storage | IAM | Incident Response | MLOps | Model versioning | Observability | PubSub | Python | Release pipelines | SLA | SLO | SQL | Secrets management | Streaming Pipelines | Vertex AI
Education
N/A
Roles
Data Engineer | DevOps | DevOps Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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